diff options
| -rw-r--r-- | packaging/python_module/__init__.py | 0 | ||||
| -rw-r--r-- | packaging/python_module/typing_extensions.py | 2296 | ||||
| -rw-r--r-- | packaging/pytorch.manifest | 5 | ||||
| -rw-r--r-- | packaging/pytorch.pc.in | 5 | ||||
| -rw-r--r-- | packaging/pytorch.spec | 175 |
5 files changed, 2481 insertions, 0 deletions
diff --git a/packaging/python_module/__init__.py b/packaging/python_module/__init__.py new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/packaging/python_module/__init__.py diff --git a/packaging/python_module/typing_extensions.py b/packaging/python_module/typing_extensions.py new file mode 100644 index 0000000000..9f1c7aa31e --- /dev/null +++ b/packaging/python_module/typing_extensions.py @@ -0,0 +1,2296 @@ +import abc +import collections +import collections.abc +import operator +import sys +import typing + +# After PEP 560, internal typing API was substantially reworked. +# This is especially important for Protocol class which uses internal APIs +# quite extensively. +PEP_560 = sys.version_info[:3] >= (3, 7, 0) + +if PEP_560: + GenericMeta = type +else: + # 3.6 + from typing import GenericMeta, _type_vars # noqa + +# The two functions below are copies of typing internal helpers. +# They are needed by _ProtocolMeta + + +def _no_slots_copy(dct): + dict_copy = dict(dct) + if '__slots__' in dict_copy: + for slot in dict_copy['__slots__']: + dict_copy.pop(slot, None) + return dict_copy + + +def _check_generic(cls, parameters): + if not cls.__parameters__: + raise TypeError(f"{cls} is not a generic class") + alen = len(parameters) + elen = len(cls.__parameters__) + if alen != elen: + raise TypeError(f"Too {'many' if alen > elen else 'few'} arguments for {cls};" + f" actual {alen}, expected {elen}") + + +# Please keep __all__ alphabetized within each category. +__all__ = [ + # Super-special typing primitives. + 'ClassVar', + 'Concatenate', + 'Final', + 'ParamSpec', + 'Self', + 'Type', + + # ABCs (from collections.abc). + 'Awaitable', + 'AsyncIterator', + 'AsyncIterable', + 'Coroutine', + 'AsyncGenerator', + 'AsyncContextManager', + 'ChainMap', + + # Concrete collection types. + 'ContextManager', + 'Counter', + 'Deque', + 'DefaultDict', + 'OrderedDict', + 'TypedDict', + + # Structural checks, a.k.a. protocols. + 'SupportsIndex', + + # One-off things. + 'Annotated', + 'final', + 'IntVar', + 'Literal', + 'NewType', + 'overload', + 'Protocol', + 'runtime', + 'runtime_checkable', + 'Text', + 'TypeAlias', + 'TypeGuard', + 'TYPE_CHECKING', +] + +if PEP_560: + __all__.extend(["get_args", "get_origin", "get_type_hints"]) + +# 3.6.2+ +if hasattr(typing, 'NoReturn'): + NoReturn = typing.NoReturn +# 3.6.0-3.6.1 +else: + class _NoReturn(typing._FinalTypingBase, _root=True): + """Special type indicating functions that never return. + Example:: + + from typing import NoReturn + + def stop() -> NoReturn: + raise Exception('no way') + + This type is invalid in other positions, e.g., ``List[NoReturn]`` + will fail in static type checkers. + """ + __slots__ = () + + def __instancecheck__(self, obj): + raise TypeError("NoReturn cannot be used with isinstance().") + + def __subclasscheck__(self, cls): + raise TypeError("NoReturn cannot be used with issubclass().") + + NoReturn = _NoReturn(_root=True) + +# Some unconstrained type variables. These are used by the container types. +# (These are not for export.) +T = typing.TypeVar('T') # Any type. +KT = typing.TypeVar('KT') # Key type. +VT = typing.TypeVar('VT') # Value type. +T_co = typing.TypeVar('T_co', covariant=True) # Any type covariant containers. +T_contra = typing.TypeVar('T_contra', contravariant=True) # Ditto contravariant. + +ClassVar = typing.ClassVar + +# On older versions of typing there is an internal class named "Final". +# 3.8+ +if hasattr(typing, 'Final') and sys.version_info[:2] >= (3, 7): + Final = typing.Final +# 3.7 +elif sys.version_info[:2] >= (3, 7): + class _FinalForm(typing._SpecialForm, _root=True): + + def __repr__(self): + return 'typing_extensions.' + self._name + + def __getitem__(self, parameters): + item = typing._type_check(parameters, + f'{self._name} accepts only single type') + return typing._GenericAlias(self, (item,)) + + Final = _FinalForm('Final', + doc="""A special typing construct to indicate that a name + cannot be re-assigned or overridden in a subclass. + For example: + + MAX_SIZE: Final = 9000 + MAX_SIZE += 1 # Error reported by type checker + + class Connection: + TIMEOUT: Final[int] = 10 + class FastConnector(Connection): + TIMEOUT = 1 # Error reported by type checker + + There is no runtime checking of these properties.""") +# 3.6 +else: + class _Final(typing._FinalTypingBase, _root=True): + """A special typing construct to indicate that a name + cannot be re-assigned or overridden in a subclass. + For example: + + MAX_SIZE: Final = 9000 + MAX_SIZE += 1 # Error reported by type checker + + class Connection: + TIMEOUT: Final[int] = 10 + class FastConnector(Connection): + TIMEOUT = 1 # Error reported by type checker + + There is no runtime checking of these properties. + """ + + __slots__ = ('__type__',) + + def __init__(self, tp=None, **kwds): + self.__type__ = tp + + def __getitem__(self, item): + cls = type(self) + if self.__type__ is None: + return cls(typing._type_check(item, + f'{cls.__name__[1:]} accepts only single type.'), + _root=True) + raise TypeError(f'{cls.__name__[1:]} cannot be further subscripted') + + def _eval_type(self, globalns, localns): + new_tp = typing._eval_type(self.__type__, globalns, localns) + if new_tp == self.__type__: + return self + return type(self)(new_tp, _root=True) + + def __repr__(self): + r = super().__repr__() + if self.__type__ is not None: + r += f'[{typing._type_repr(self.__type__)}]' + return r + + def __hash__(self): + return hash((type(self).__name__, self.__type__)) + + def __eq__(self, other): + if not isinstance(other, _Final): + return NotImplemented + if self.__type__ is not None: + return self.__type__ == other.__type__ + return self is other + + Final = _Final(_root=True) + + +# 3.8+ +if hasattr(typing, 'final'): + final = typing.final +# 3.6-3.7 +else: + def final(f): + """This decorator can be used to indicate to type checkers that + the decorated method cannot be overridden, and decorated class + cannot be subclassed. For example: + + class Base: + @final + def done(self) -> None: + ... + class Sub(Base): + def done(self) -> None: # Error reported by type checker + ... + @final + class Leaf: + ... + class Other(Leaf): # Error reported by type checker + ... + + There is no runtime checking of these properties. + """ + return f + + +def IntVar(name): + return typing.TypeVar(name) + + +# 3.8+: +if hasattr(typing, 'Literal'): + Literal = typing.Literal +# 3.7: +elif sys.version_info[:2] >= (3, 7): + class _LiteralForm(typing._SpecialForm, _root=True): + + def __repr__(self): + return 'typing_extensions.' + self._name + + def __getitem__(self, parameters): + return typing._GenericAlias(self, parameters) + + Literal = _LiteralForm('Literal', + doc="""A type that can be used to indicate to type checkers + that the corresponding value has a value literally equivalent + to the provided parameter. For example: + + var: Literal[4] = 4 + + The type checker understands that 'var' is literally equal to + the value 4 and no other value. + + Literal[...] cannot be subclassed. There is no runtime + checking verifying that the parameter is actually a value + instead of a type.""") +# 3.6: +else: + class _Literal(typing._FinalTypingBase, _root=True): + """A type that can be used to indicate to type checkers that the + corresponding value has a value literally equivalent to the + provided parameter. For example: + + var: Literal[4] = 4 + + The type checker understands that 'var' is literally equal to the + value 4 and no other value. + + Literal[...] cannot be subclassed. There is no runtime checking + verifying that the parameter is actually a value instead of a type. + """ + + __slots__ = ('__values__',) + + def __init__(self, values=None, **kwds): + self.__values__ = values + + def __getitem__(self, values): + cls = type(self) + if self.__values__ is None: + if not isinstance(values, tuple): + values = (values,) + return cls(values, _root=True) + raise TypeError(f'{cls.__name__[1:]} cannot be further subscripted') + + def _eval_type(self, globalns, localns): + return self + + def __repr__(self): + r = super().__repr__() + if self.__values__ is not None: + r += f'[{", ".join(map(typing._type_repr, self.__values__))}]' + return r + + def __hash__(self): + return hash((type(self).__name__, self.__values__)) + + def __eq__(self, other): + if not isinstance(other, _Literal): + return NotImplemented + if self.__values__ is not None: + return self.__values__ == other.__values__ + return self is other + + Literal = _Literal(_root=True) + + +_overload_dummy = typing._overload_dummy # noqa +overload = typing.overload + + +# This is not a real generic class. Don't use outside annotations. +Type = typing.Type + +# Various ABCs mimicking those in collections.abc. +# A few are simply re-exported for completeness. + + +class _ExtensionsGenericMeta(GenericMeta): + def __subclasscheck__(self, subclass): + """This mimics a more modern GenericMeta.__subclasscheck__() logic + (that does not have problems with recursion) to work around interactions + between collections, typing, and typing_extensions on older + versions of Python, see https://github.com/python/typing/issues/501. + """ + if self.__origin__ is not None: + if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools']: + raise TypeError("Parameterized generics cannot be used with class " + "or instance checks") + return False + if not self.__extra__: + return super().__subclasscheck__(subclass) + res = self.__extra__.__subclasshook__(subclass) + if res is not NotImplemented: + return res + if self.__extra__ in subclass.__mro__: + return True + for scls in self.__extra__.__subclasses__(): + if isinstance(scls, GenericMeta): + continue + if issubclass(subclass, scls): + return True + return False + + +Awaitable = typing.Awaitable +Coroutine = typing.Coroutine +AsyncIterable = typing.AsyncIterable +AsyncIterator = typing.AsyncIterator + +# 3.6.1+ +if hasattr(typing, 'Deque'): + Deque = typing.Deque +# 3.6.0 +else: + class Deque(collections.deque, typing.MutableSequence[T], + metaclass=_ExtensionsGenericMeta, + extra=collections.deque): + __slots__ = () + + def __new__(cls, *args, **kwds): + if cls._gorg is Deque: + return collections.deque(*args, **kwds) + return typing._generic_new(collections.deque, cls, *args, **kwds) + +ContextManager = typing.ContextManager +# 3.6.2+ +if hasattr(typing, 'AsyncContextManager'): + AsyncContextManager = typing.AsyncContextManager +# 3.6.0-3.6.1 +else: + from _collections_abc import _check_methods as _check_methods_in_mro # noqa + + class AsyncContextManager(typing.Generic[T_co]): + __slots__ = () + + async def __aenter__(self): + return self + + @abc.abstractmethod + async def __aexit__(self, exc_type, exc_value, traceback): + return None + + @classmethod + def __subclasshook__(cls, C): + if cls is AsyncContextManager: + return _check_methods_in_mro(C, "__aenter__", "__aexit__") + return NotImplemented + +DefaultDict = typing.DefaultDict + +# 3.7.2+ +if hasattr(typing, 'OrderedDict'): + OrderedDict = typing.OrderedDict +# 3.7.0-3.7.2 +elif (3, 7, 0) <= sys.version_info[:3] < (3, 7, 2): + OrderedDict = typing._alias(collections.OrderedDict, (KT, VT)) +# 3.6 +else: + class OrderedDict(collections.OrderedDict, typing.MutableMapping[KT, VT], + metaclass=_ExtensionsGenericMeta, + extra=collections.OrderedDict): + + __slots__ = () + + def __new__(cls, *args, **kwds): + if cls._gorg is OrderedDict: + return collections.OrderedDict(*args, **kwds) + return typing._generic_new(collections.OrderedDict, cls, *args, **kwds) + +# 3.6.2+ +if hasattr(typing, 'Counter'): + Counter = typing.Counter +# 3.6.0-3.6.1 +else: + class Counter(collections.Counter, + typing.Dict[T, int], + metaclass=_ExtensionsGenericMeta, extra=collections.Counter): + + __slots__ = () + + def __new__(cls, *args, **kwds): + if cls._gorg is Counter: + return collections.Counter(*args, **kwds) + return typing._generic_new(collections.Counter, cls, *args, **kwds) + +# 3.6.1+ +if hasattr(typing, 'ChainMap'): + ChainMap = typing.ChainMap +elif hasattr(collections, 'ChainMap'): + class ChainMap(collections.ChainMap, typing.MutableMapping[KT, VT], + metaclass=_ExtensionsGenericMeta, + extra=collections.ChainMap): + + __slots__ = () + + def __new__(cls, *args, **kwds): + if cls._gorg is ChainMap: + return collections.ChainMap(*args, **kwds) + return typing._generic_new(collections.ChainMap, cls, *args, **kwds) + +# 3.6.1+ +if hasattr(typing, 'AsyncGenerator'): + AsyncGenerator = typing.AsyncGenerator +# 3.6.0 +else: + class AsyncGenerator(AsyncIterator[T_co], typing.Generic[T_co, T_contra], + metaclass=_ExtensionsGenericMeta, + extra=collections.abc.AsyncGenerator): + __slots__ = () + +NewType = typing.NewType +Text = typing.Text +TYPE_CHECKING = typing.TYPE_CHECKING + + +def _gorg(cls): + """This function exists for compatibility with old typing versions.""" + assert isinstance(cls, GenericMeta) + if hasattr(cls, '_gorg'): + return cls._gorg + while cls.__origin__ is not None: + cls = cls.__origin__ + return cls + + +_PROTO_WHITELIST = ['Callable', 'Awaitable', + 'Iterable', 'Iterator', 'AsyncIterable', 'AsyncIterator', + 'Hashable', 'Sized', 'Container', 'Collection', 'Reversible', + 'ContextManager', 'AsyncContextManager'] + + +def _get_protocol_attrs(cls): + attrs = set() + for base in cls.__mro__[:-1]: # without object + if base.__name__ in ('Protocol', 'Generic'): + continue + annotations = getattr(base, '__annotations__', {}) + for attr in list(base.__dict__.keys()) + list(annotations.keys()): + if (not attr.startswith('_abc_') and attr not in ( + '__abstractmethods__', '__annotations__', '__weakref__', + '_is_protocol', '_is_runtime_protocol', '__dict__', + '__args__', '__slots__', + '__next_in_mro__', '__parameters__', '__origin__', + '__orig_bases__', '__extra__', '__tree_hash__', + '__doc__', '__subclasshook__', '__init__', '__new__', + '__module__', '_MutableMapping__marker', '_gorg')): + attrs.add(attr) + return attrs + + +def _is_callable_members_only(cls): + return all(callable(getattr(cls, attr, None)) for attr in _get_protocol_attrs(cls)) + + +# 3.8+ +if hasattr(typing, 'Protocol'): + Protocol = typing.Protocol +# 3.7 +elif PEP_560: + from typing import _collect_type_vars # noqa + + def _no_init(self, *args, **kwargs): + if type(self)._is_protocol: + raise TypeError('Protocols cannot be instantiated') + + class _ProtocolMeta(abc.ABCMeta): + # This metaclass is a bit unfortunate and exists only because of the lack + # of __instancehook__. + def __instancecheck__(cls, instance): + # We need this method for situations where attributes are + # assigned in __init__. + if ((not getattr(cls, '_is_protocol', False) or + _is_callable_members_only(cls)) and + issubclass(instance.__class__, cls)): + return True + if cls._is_protocol: + if all(hasattr(instance, attr) and + (not callable(getattr(cls, attr, None)) or + getattr(instance, attr) is not None) + for attr in _get_protocol_attrs(cls)): + return True + return super().__instancecheck__(instance) + + class Protocol(metaclass=_ProtocolMeta): + # There is quite a lot of overlapping code with typing.Generic. + # Unfortunately it is hard to avoid this while these live in two different + # modules. The duplicated code will be removed when Protocol is moved to typing. + """Base class for protocol classes. Protocol classes are defined as:: + + class Proto(Protocol): + def meth(self) -> int: + ... + + Such classes are primarily used with static type checkers that recognize + structural subtyping (static duck-typing), for example:: + + class C: + def meth(self) -> int: + return 0 + + def func(x: Proto) -> int: + return x.meth() + + func(C()) # Passes static type check + + See PEP 544 for details. Protocol classes decorated with + @typing_extensions.runtime act as simple-minded runtime protocol that checks + only the presence of given attributes, ignoring their type signatures. + + Protocol classes can be generic, they are defined as:: + + class GenProto(Protocol[T]): + def meth(self) -> T: + ... + """ + __slots__ = () + _is_protocol = True + + def __new__(cls, *args, **kwds): + if cls is Protocol: + raise TypeError("Type Protocol cannot be instantiated; " + "it can only be used as a base class") + return super().__new__(cls) + + @typing._tp_cache + def __class_getitem__(cls, params): + if not isinstance(params, tuple): + params = (params,) + if not params and cls is not typing.Tuple: + raise TypeError( + f"Parameter list to {cls.__qualname__}[...] cannot be empty") + msg = "Parameters to generic types must be types." + params = tuple(typing._type_check(p, msg) for p in params) # noqa + if cls is Protocol: + # Generic can only be subscripted with unique type variables. + if not all(isinstance(p, typing.TypeVar) for p in params): + i = 0 + while isinstance(params[i], typing.TypeVar): + i += 1 + raise TypeError( + "Parameters to Protocol[...] must all be type variables." + f" Parameter {i + 1} is {params[i]}") + if len(set(params)) != len(params): + raise TypeError( + "Parameters to Protocol[...] must all be unique") + else: + # Subscripting a regular Generic subclass. + _check_generic(cls, params) + return typing._GenericAlias(cls, params) + + def __init_subclass__(cls, *args, **kwargs): + tvars = [] + if '__orig_bases__' in cls.__dict__: + error = typing.Generic in cls.__orig_bases__ + else: + error = typing.Generic in cls.__bases__ + if error: + raise TypeError("Cannot inherit from plain Generic") + if '__orig_bases__' in cls.__dict__: + tvars = _collect_type_vars(cls.__orig_bases__) + # Look for Generic[T1, ..., Tn] or Protocol[T1, ..., Tn]. + # If found, tvars must be a subset of it. + # If not found, tvars is it. + # Also check for and reject plain Generic, + # and reject multiple Generic[...] and/or Protocol[...]. + gvars = None + for base in cls.__orig_bases__: + if (isinstance(base, typing._GenericAlias) and + base.__origin__ in (typing.Generic, Protocol)): + # for error messages + the_base = base.__origin__.__name__ + if gvars is not None: + raise TypeError( + "Cannot inherit from Generic[...]" + " and/or Protocol[...] multiple types.") + gvars = base.__parameters__ + if gvars is None: + gvars = tvars + else: + tvarset = set(tvars) + gvarset = set(gvars) + if not tvarset <= gvarset: + s_vars = ', '.join(str(t) for t in tvars if t not in gvarset) + s_args = ', '.join(str(g) for g in gvars) + raise TypeError(f"Some type variables ({s_vars}) are" + f" not listed in {the_base}[{s_args}]") + tvars = gvars + cls.__parameters__ = tuple(tvars) + + # Determine if this is a protocol or a concrete subclass. + if not cls.__dict__.get('_is_protocol', None): + cls._is_protocol = any(b is Protocol for b in cls.__bases__) + + # Set (or override) the protocol subclass hook. + def _proto_hook(other): + if not cls.__dict__.get('_is_protocol', None): + return NotImplemented + if not getattr(cls, '_is_runtime_protocol', False): + if sys._getframe(2).f_globals['__name__'] in ['abc', 'functools']: + return NotImplemented + raise TypeError("Instance and class checks can only be used with" + " @runtime protocols") + if not _is_callable_members_only(cls): + if sys._getframe(2).f_globals['__name__'] in ['abc', 'functools']: + return NotImplemented + raise TypeError("Protocols with non-method members" + " don't support issubclass()") + if not isinstance(other, type): + # Same error as for issubclass(1, int) + raise TypeError('issubclass() arg 1 must be a class') + for attr in _get_protocol_attrs(cls): + for base in other.__mro__: + if attr in base.__dict__: + if base.__dict__[attr] is None: + return NotImplemented + break + annotations = getattr(base, '__annotations__', {}) + if (isinstance(annotations, typing.Mapping) and + attr in annotations and + isinstance(other, _ProtocolMeta) and + other._is_protocol): + break + else: + return NotImplemented + return True + if '__subclasshook__' not in cls.__dict__: + cls.__subclasshook__ = _proto_hook + + # We have nothing more to do for non-protocols. + if not cls._is_protocol: + return + + # Check consistency of bases. + for base in cls.__bases__: + if not (base in (object, typing.Generic) or + base.__module__ == 'collections.abc' and + base.__name__ in _PROTO_WHITELIST or + isinstance(base, _ProtocolMeta) and base._is_protocol): + raise TypeError('Protocols can only inherit from other' + f' protocols, got {repr(base)}') + cls.__init__ = _no_init +# 3.6 +else: + from typing import _next_in_mro, _type_check # noqa + + def _no_init(self, *args, **kwargs): + if type(self)._is_protocol: + raise TypeError('Protocols cannot be instantiated') + + class _ProtocolMeta(GenericMeta): + """Internal metaclass for Protocol. + + This exists so Protocol classes can be generic without deriving + from Generic. + """ + def __new__(cls, name, bases, namespace, + tvars=None, args=None, origin=None, extra=None, orig_bases=None): + # This is just a version copied from GenericMeta.__new__ that + # includes "Protocol" special treatment. (Comments removed for brevity.) + assert extra is None # Protocols should not have extra + if tvars is not None: + assert origin is not None + assert all(isinstance(t, typing.TypeVar) for t in tvars), tvars + else: + tvars = _type_vars(bases) + gvars = None + for base in bases: + if base is typing.Generic: + raise TypeError("Cannot inherit from plain Generic") + if (isinstance(base, GenericMeta) and + base.__origin__ in (typing.Generic, Protocol)): + if gvars is not None: + raise TypeError( + "Cannot inherit from Generic[...] or" + " Protocol[...] multiple times.") + gvars = base.__parameters__ + if gvars is None: + gvars = tvars + else: + tvarset = set(tvars) + gvarset = set(gvars) + if not tvarset <= gvarset: + s_vars = ", ".join(str(t) for t in tvars if t not in gvarset) + s_args = ", ".join(str(g) for g in gvars) + cls_name = "Generic" if any(b.__origin__ is typing.Generic + for b in bases) else "Protocol" + raise TypeError(f"Some type variables ({s_vars}) are" + f" not listed in {cls_name}[{s_args}]") + tvars = gvars + + initial_bases = bases + if (extra is not None and type(extra) is abc.ABCMeta and + extra not in bases): + bases = (extra,) + bases + bases = tuple(_gorg(b) if isinstance(b, GenericMeta) else b + for b in bases) + if any(isinstance(b, GenericMeta) and b is not typing.Generic for b in bases): + bases = tuple(b for b in bases if b is not typing.Generic) + namespace.update({'__origin__': origin, '__extra__': extra}) + self = super(GenericMeta, cls).__new__(cls, name, bases, namespace, + _root=True) + super(GenericMeta, self).__setattr__('_gorg', + self if not origin else + _gorg(origin)) + self.__parameters__ = tvars + self.__args__ = tuple(... if a is typing._TypingEllipsis else + () if a is typing._TypingEmpty else + a for a in args) if args else None + self.__next_in_mro__ = _next_in_mro(self) + if orig_bases is None: + self.__orig_bases__ = initial_bases + elif origin is not None: + self._abc_registry = origin._abc_registry + self._abc_cache = origin._abc_cache + if hasattr(self, '_subs_tree'): + self.__tree_hash__ = (hash(self._subs_tree()) if origin else + super(GenericMeta, self).__hash__()) + return self + + def __init__(cls, *args, **kwargs): + super().__init__(*args, **kwargs) + if not cls.__dict__.get('_is_protocol', None): + cls._is_protocol = any(b is Protocol or + isinstance(b, _ProtocolMeta) and + b.__origin__ is Protocol + for b in cls.__bases__) + if cls._is_protocol: + for base in cls.__mro__[1:]: + if not (base in (object, typing.Generic) or + base.__module__ == 'collections.abc' and + base.__name__ in _PROTO_WHITELIST or + isinstance(base, typing.TypingMeta) and base._is_protocol or + isinstance(base, GenericMeta) and + base.__origin__ is typing.Generic): + raise TypeError(f'Protocols can only inherit from other' + f' protocols, got {repr(base)}') + + cls.__init__ = _no_init + + def _proto_hook(other): + if not cls.__dict__.get('_is_protocol', None): + return NotImplemented + if not isinstance(other, type): + # Same error as for issubclass(1, int) + raise TypeError('issubclass() arg 1 must be a class') + for attr in _get_protocol_attrs(cls): + for base in other.__mro__: + if attr in base.__dict__: + if base.__dict__[attr] is None: + return NotImplemented + break + annotations = getattr(base, '__annotations__', {}) + if (isinstance(annotations, typing.Mapping) and + attr in annotations and + isinstance(other, _ProtocolMeta) and + other._is_protocol): + break + else: + return NotImplemented + return True + if '__subclasshook__' not in cls.__dict__: + cls.__subclasshook__ = _proto_hook + + def __instancecheck__(self, instance): + # We need this method for situations where attributes are + # assigned in __init__. + if ((not getattr(self, '_is_protocol', False) or + _is_callable_members_only(self)) and + issubclass(instance.__class__, self)): + return True + if self._is_protocol: + if all(hasattr(instance, attr) and + (not callable(getattr(self, attr, None)) or + getattr(instance, attr) is not None) + for attr in _get_protocol_attrs(self)): + return True + return super(GenericMeta, self).__instancecheck__(instance) + + def __subclasscheck__(self, cls): + if self.__origin__ is not None: + if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools']: + raise TypeError("Parameterized generics cannot be used with class " + "or instance checks") + return False + if (self.__dict__.get('_is_protocol', None) and + not self.__dict__.get('_is_runtime_protocol', None)): + if sys._getframe(1).f_globals['__name__'] in ['abc', + 'functools', + 'typing']: + return False + raise TypeError("Instance and class checks can only be used with" + " @runtime protocols") + if (self.__dict__.get('_is_runtime_protocol', None) and + not _is_callable_members_only(self)): + if sys._getframe(1).f_globals['__name__'] in ['abc', + 'functools', + 'typing']: + return super(GenericMeta, self).__subclasscheck__(cls) + raise TypeError("Protocols with non-method members" + " don't support issubclass()") + return super(GenericMeta, self).__subclasscheck__(cls) + + @typing._tp_cache + def __getitem__(self, params): + # We also need to copy this from GenericMeta.__getitem__ to get + # special treatment of "Protocol". (Comments removed for brevity.) + if not isinstance(params, tuple): + params = (params,) + if not params and _gorg(self) is not typing.Tuple: + raise TypeError( + f"Parameter list to {self.__qualname__}[...] cannot be empty") + msg = "Parameters to generic types must be types." + params = tuple(_type_check(p, msg) for p in params) + if self in (typing.Generic, Protocol): + if not all(isinstance(p, typing.TypeVar) for p in params): + raise TypeError( + f"Parameters to {repr(self)}[...] must all be type variables") + if len(set(params)) != len(params): + raise TypeError( + f"Parameters to {repr(self)}[...] must all be unique") + tvars = params + args = params + elif self in (typing.Tuple, typing.Callable): + tvars = _type_vars(params) + args = params + elif self.__origin__ in (typing.Generic, Protocol): + raise TypeError(f"Cannot subscript already-subscripted {repr(self)}") + else: + _check_generic(self, params) + tvars = _type_vars(params) + args = params + + prepend = (self,) if self.__origin__ is None else () + return self.__class__(self.__name__, + prepend + self.__bases__, + _no_slots_copy(self.__dict__), + tvars=tvars, + args=args, + origin=self, + extra=self.__extra__, + orig_bases=self.__orig_bases__) + + class Protocol(metaclass=_ProtocolMeta): + """Base class for protocol classes. Protocol classes are defined as:: + + class Proto(Protocol): + def meth(self) -> int: + ... + + Such classes are primarily used with static type checkers that recognize + structural subtyping (static duck-typing), for example:: + + class C: + def meth(self) -> int: + return 0 + + def func(x: Proto) -> int: + return x.meth() + + func(C()) # Passes static type check + + See PEP 544 for details. Protocol classes decorated with + @typing_extensions.runtime act as simple-minded runtime protocol that checks + only the presence of given attributes, ignoring their type signatures. + + Protocol classes can be generic, they are defined as:: + + class GenProto(Protocol[T]): + def meth(self) -> T: + ... + """ + __slots__ = () + _is_protocol = True + + def __new__(cls, *args, **kwds): + if _gorg(cls) is Protocol: + raise TypeError("Type Protocol cannot be instantiated; " + "it can be used only as a base class") + return typing._generic_new(cls.__next_in_mro__, cls, *args, **kwds) + + +# 3.8+ +if hasattr(typing, 'runtime_checkable'): + runtime_checkable = typing.runtime_checkable +# 3.6-3.7 +else: + def runtime_checkable(cls): + """Mark a protocol class as a runtime protocol, so that it + can be used with isinstance() and issubclass(). Raise TypeError + if applied to a non-protocol class. + + This allows a simple-minded structural check very similar to the + one-offs in collections.abc such as Hashable. + """ + if not isinstance(cls, _ProtocolMeta) or not cls._is_protocol: + raise TypeError('@runtime_checkable can be only applied to protocol classes,' + f' got {cls!r}') + cls._is_runtime_protocol = True + return cls + + +# Exists for backwards compatibility. +runtime = runtime_checkable + + +# 3.8+ +if hasattr(typing, 'SupportsIndex'): + SupportsIndex = typing.SupportsIndex +# 3.6-3.7 +else: + @runtime_checkable + class SupportsIndex(Protocol): + __slots__ = () + + @abc.abstractmethod + def __index__(self) -> int: + pass + + +if sys.version_info >= (3, 9, 2): + # The standard library TypedDict in Python 3.8 does not store runtime information + # about which (if any) keys are optional. See https://bugs.python.org/issue38834 + # The standard library TypedDict in Python 3.9.0/1 does not honour the "total" + # keyword with old-style TypedDict(). See https://bugs.python.org/issue42059 + TypedDict = typing.TypedDict +else: + def _check_fails(cls, other): + try: + if sys._getframe(1).f_globals['__name__'] not in ['abc', + 'functools', + 'typing']: + # Typed dicts are only for static structural subtyping. + raise TypeError('TypedDict does not support instance and class checks') + except (AttributeError, ValueError): + pass + return False + + def _dict_new(*args, **kwargs): + if not args: + raise TypeError('TypedDict.__new__(): not enough arguments') + _, args = args[0], args[1:] # allow the "cls" keyword be passed + return dict(*args, **kwargs) + + _dict_new.__text_signature__ = '($cls, _typename, _fields=None, /, **kwargs)' + + def _typeddict_new(*args, total=True, **kwargs): + if not args: + raise TypeError('TypedDict.__new__(): not enough arguments') + _, args = args[0], args[1:] # allow the "cls" keyword be passed + if args: + typename, args = args[0], args[1:] # allow the "_typename" keyword be passed + elif '_typename' in kwargs: + typename = kwargs.pop('_typename') + import warnings + warnings.warn("Passing '_typename' as keyword argument is deprecated", + DeprecationWarning, stacklevel=2) + else: + raise TypeError("TypedDict.__new__() missing 1 required positional " + "argument: '_typename'") + if args: + try: + fields, = args # allow the "_fields" keyword be passed + except ValueError: + raise TypeError('TypedDict.__new__() takes from 2 to 3 ' + f'positional arguments but {len(args) + 2} ' + 'were given') + elif '_fields' in kwargs and len(kwargs) == 1: + fields = kwargs.pop('_fields') + import warnings + warnings.warn("Passing '_fields' as keyword argument is deprecated", + DeprecationWarning, stacklevel=2) + else: + fields = None + + if fields is None: + fields = kwargs + elif kwargs: + raise TypeError("TypedDict takes either a dict or keyword arguments," + " but not both") + + ns = {'__annotations__': dict(fields)} + try: + # Setting correct module is necessary to make typed dict classes pickleable. + ns['__module__'] = sys._getframe(1).f_globals.get('__name__', '__main__') + except (AttributeError, ValueError): + pass + + return _TypedDictMeta(typename, (), ns, total=total) + + _typeddict_new.__text_signature__ = ('($cls, _typename, _fields=None,' + ' /, *, total=True, **kwargs)') + + class _TypedDictMeta(type): + def __init__(cls, name, bases, ns, total=True): + super().__init__(name, bases, ns) + + def __new__(cls, name, bases, ns, total=True): + # Create new typed dict class object. + # This method is called directly when TypedDict is subclassed, + # or via _typeddict_new when TypedDict is instantiated. This way + # TypedDict supports all three syntaxes described in its docstring. + # Subclasses and instances of TypedDict return actual dictionaries + # via _dict_new. + ns['__new__'] = _typeddict_new if name == 'TypedDict' else _dict_new + tp_dict = super().__new__(cls, name, (dict,), ns) + + annotations = {} + own_annotations = ns.get('__annotations__', {}) + own_annotation_keys = set(own_annotations.keys()) + msg = "TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a type" + own_annotations = { + n: typing._type_check(tp, msg) for n, tp in own_annotations.items() + } + required_keys = set() + optional_keys = set() + + for base in bases: + annotations.update(base.__dict__.get('__annotations__', {})) + required_keys.update(base.__dict__.get('__required_keys__', ())) + optional_keys.update(base.__dict__.get('__optional_keys__', ())) + + annotations.update(own_annotations) + if total: + required_keys.update(own_annotation_keys) + else: + optional_keys.update(own_annotation_keys) + + tp_dict.__annotations__ = annotations + tp_dict.__required_keys__ = frozenset(required_keys) + tp_dict.__optional_keys__ = frozenset(optional_keys) + if not hasattr(tp_dict, '__total__'): + tp_dict.__total__ = total + return tp_dict + + __instancecheck__ = __subclasscheck__ = _check_fails + + TypedDict = _TypedDictMeta('TypedDict', (dict,), {}) + TypedDict.__module__ = __name__ + TypedDict.__doc__ = \ + """A simple typed name space. At runtime it is equivalent to a plain dict. + + TypedDict creates a dictionary type that expects all of its + instances to have a certain set of keys, with each key + associated with a value of a consistent type. This expectation + is not checked at runtime but is only enforced by type checkers. + Usage:: + + class Point2D(TypedDict): + x: int + y: int + label: str + + a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK + b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check + + assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first') + + The type info can be accessed via the Point2D.__annotations__ dict, and + the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets. + TypedDict supports two additional equivalent forms:: + + Point2D = TypedDict('Point2D', x=int, y=int, label=str) + Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str}) + + The class syntax is only supported in Python 3.6+, while two other + syntax forms work for Python 2.7 and 3.2+ + """ + + +# Python 3.9+ has PEP 593 (Annotated and modified get_type_hints) +if hasattr(typing, 'Annotated'): + Annotated = typing.Annotated + get_type_hints = typing.get_type_hints + # Not exported and not a public API, but needed for get_origin() and get_args() + # to work. + _AnnotatedAlias = typing._AnnotatedAlias +# 3.7-3.8 +elif PEP_560: + class _AnnotatedAlias(typing._GenericAlias, _root=True): + """Runtime representation of an annotated type. + + At its core 'Annotated[t, dec1, dec2, ...]' is an alias for the type 't' + with extra annotations. The alias behaves like a normal typing alias, + instantiating is the same as instantiating the underlying type, binding + it to types is also the same. + """ + def __init__(self, origin, metadata): + if isinstance(origin, _AnnotatedAlias): + metadata = origin.__metadata__ + metadata + origin = origin.__origin__ + super().__init__(origin, origin) + self.__metadata__ = metadata + + def copy_with(self, params): + assert len(params) == 1 + new_type = params[0] + return _AnnotatedAlias(new_type, self.__metadata__) + + def __repr__(self): + return (f"typing_extensions.Annotated[{typing._type_repr(self.__origin__)}, " + f"{', '.join(repr(a) for a in self.__metadata__)}]") + + def __reduce__(self): + return operator.getitem, ( + Annotated, (self.__origin__,) + self.__metadata__ + ) + + def __eq__(self, other): + if not isinstance(other, _AnnotatedAlias): + return NotImplemented + if self.__origin__ != other.__origin__: + return False + return self.__metadata__ == other.__metadata__ + + def __hash__(self): + return hash((self.__origin__, self.__metadata__)) + + class Annotated: + """Add context specific metadata to a type. + + Example: Annotated[int, runtime_check.Unsigned] indicates to the + hypothetical runtime_check module that this type is an unsigned int. + Every other consumer of this type can ignore this metadata and treat + this type as int. + + The first argument to Annotated must be a valid type (and will be in + the __origin__ field), the remaining arguments are kept as a tuple in + the __extra__ field. + + Details: + + - It's an error to call `Annotated` with less than two arguments. + - Nested Annotated are flattened:: + + Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3] + + - Instantiating an annotated type is equivalent to instantiating the + underlying type:: + + Annotated[C, Ann1](5) == C(5) + + - Annotated can be used as a generic type alias:: + + Optimized = Annotated[T, runtime.Optimize()] + Optimized[int] == Annotated[int, runtime.Optimize()] + + OptimizedList = Annotated[List[T], runtime.Optimize()] + OptimizedList[int] == Annotated[List[int], runtime.Optimize()] + """ + + __slots__ = () + + def __new__(cls, *args, **kwargs): + raise TypeError("Type Annotated cannot be instantiated.") + + @typing._tp_cache + def __class_getitem__(cls, params): + if not isinstance(params, tuple) or len(params) < 2: + raise TypeError("Annotated[...] should be used " + "with at least two arguments (a type and an " + "annotation).") + msg = "Annotated[t, ...]: t must be a type." + origin = typing._type_check(params[0], msg) + metadata = tuple(params[1:]) + return _AnnotatedAlias(origin, metadata) + + def __init_subclass__(cls, *args, **kwargs): + raise TypeError( + f"Cannot subclass {cls.__module__}.Annotated" + ) + + def _strip_annotations(t): + """Strips the annotations from a given type. + """ + if isinstance(t, _AnnotatedAlias): + return _strip_annotations(t.__origin__) + if isinstance(t, typing._GenericAlias): + stripped_args = tuple(_strip_annotations(a) for a in t.__args__) + if stripped_args == t.__args__: + return t + res = t.copy_with(stripped_args) + res._special = t._special + return res + return t + + def get_type_hints(obj, globalns=None, localns=None, include_extras=False): + """Return type hints for an object. + + This is often the same as obj.__annotations__, but it handles + forward references encoded as string literals, adds Optional[t] if a + default value equal to None is set and recursively replaces all + 'Annotated[T, ...]' with 'T' (unless 'include_extras=True'). + + The argument may be a module, class, method, or function. The annotations + are returned as a dictionary. For classes, annotations include also + inherited members. + + TypeError is raised if the argument is not of a type that can contain + annotations, and an empty dictionary is returned if no annotations are + present. + + BEWARE -- the behavior of globalns and localns is counterintuitive + (unless you are familiar with how eval() and exec() work). The + search order is locals first, then globals. + + - If no dict arguments are passed, an attempt is made to use the + globals from obj (or the respective module's globals for classes), + and these are also used as the locals. If the object does not appear + to have globals, an empty dictionary is used. + + - If one dict argument is passed, it is used for both globals and + locals. + + - If two dict arguments are passed, they specify globals and + locals, respectively. + """ + hint = typing.get_type_hints(obj, globalns=globalns, localns=localns) + if include_extras: + return hint + return {k: _strip_annotations(t) for k, t in hint.items()} +# 3.6 +else: + + def _is_dunder(name): + """Returns True if name is a __dunder_variable_name__.""" + return len(name) > 4 and name.startswith('__') and name.endswith('__') + + # Prior to Python 3.7 types did not have `copy_with`. A lot of the equality + # checks, argument expansion etc. are done on the _subs_tre. As a result we + # can't provide a get_type_hints function that strips out annotations. + + class AnnotatedMeta(typing.GenericMeta): + """Metaclass for Annotated""" + + def __new__(cls, name, bases, namespace, **kwargs): + if any(b is not object for b in bases): + raise TypeError("Cannot subclass " + str(Annotated)) + return super().__new__(cls, name, bases, namespace, **kwargs) + + @property + def __metadata__(self): + return self._subs_tree()[2] + + def _tree_repr(self, tree): + cls, origin, metadata = tree + if not isinstance(origin, tuple): + tp_repr = typing._type_repr(origin) + else: + tp_repr = origin[0]._tree_repr(origin) + metadata_reprs = ", ".join(repr(arg) for arg in metadata) + return f'{cls}[{tp_repr}, {metadata_reprs}]' + + def _subs_tree(self, tvars=None, args=None): # noqa + if self is Annotated: + return Annotated + res = super()._subs_tree(tvars=tvars, args=args) + # Flatten nested Annotated + if isinstance(res[1], tuple) and res[1][0] is Annotated: + sub_tp = res[1][1] + sub_annot = res[1][2] + return (Annotated, sub_tp, sub_annot + res[2]) + return res + + def _get_cons(self): + """Return the class used to create instance of this type.""" + if self.__origin__ is None: + raise TypeError("Cannot get the underlying type of a " + "non-specialized Annotated type.") + tree = self._subs_tree() + while isinstance(tree, tuple) and tree[0] is Annotated: + tree = tree[1] + if isinstance(tree, tuple): + return tree[0] + else: + return tree + + @typing._tp_cache + def __getitem__(self, params): + if not isinstance(params, tuple): + params = (params,) + if self.__origin__ is not None: # specializing an instantiated type + return super().__getitem__(params) + elif not isinstance(params, tuple) or len(params) < 2: + raise TypeError("Annotated[...] should be instantiated " + "with at least two arguments (a type and an " + "annotation).") + else: + msg = "Annotated[t, ...]: t must be a type." + tp = typing._type_check(params[0], msg) + metadata = tuple(params[1:]) + return self.__class__( + self.__name__, + self.__bases__, + _no_slots_copy(self.__dict__), + tvars=_type_vars((tp,)), + # Metadata is a tuple so it won't be touched by _replace_args et al. + args=(tp, metadata), + origin=self, + ) + + def __call__(self, *args, **kwargs): + cons = self._get_cons() + result = cons(*args, **kwargs) + try: + result.__orig_class__ = self + except AttributeError: + pass + return result + + def __getattr__(self, attr): + # For simplicity we just don't relay all dunder names + if self.__origin__ is not None and not _is_dunder(attr): + return getattr(self._get_cons(), attr) + raise AttributeError(attr) + + def __setattr__(self, attr, value): + if _is_dunder(attr) or attr.startswith('_abc_'): + super().__setattr__(attr, value) + elif self.__origin__ is None: + raise AttributeError(attr) + else: + setattr(self._get_cons(), attr, value) + + def __instancecheck__(self, obj): + raise TypeError("Annotated cannot be used with isinstance().") + + def __subclasscheck__(self, cls): + raise TypeError("Annotated cannot be used with issubclass().") + + class Annotated(metaclass=AnnotatedMeta): + """Add context specific metadata to a type. + + Example: Annotated[int, runtime_check.Unsigned] indicates to the + hypothetical runtime_check module that this type is an unsigned int. + Every other consumer of this type can ignore this metadata and treat + this type as int. + + The first argument to Annotated must be a valid type, the remaining + arguments are kept as a tuple in the __metadata__ field. + + Details: + + - It's an error to call `Annotated` with less than two arguments. + - Nested Annotated are flattened:: + + Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3] + + - Instantiating an annotated type is equivalent to instantiating the + underlying type:: + + Annotated[C, Ann1](5) == C(5) + + - Annotated can be used as a generic type alias:: + + Optimized = Annotated[T, runtime.Optimize()] + Optimized[int] == Annotated[int, runtime.Optimize()] + + OptimizedList = Annotated[List[T], runtime.Optimize()] + OptimizedList[int] == Annotated[List[int], runtime.Optimize()] + """ + +# Python 3.8 has get_origin() and get_args() but those implementations aren't +# Annotated-aware, so we can't use those. Python 3.9's versions don't support +# ParamSpecArgs and ParamSpecKwargs, so only Python 3.10's versions will do. +if sys.version_info[:2] >= (3, 10): + get_origin = typing.get_origin + get_args = typing.get_args +# 3.7-3.9 +elif PEP_560: + try: + # 3.9+ + from typing import _BaseGenericAlias + except ImportError: + _BaseGenericAlias = typing._GenericAlias + try: + # 3.9+ + from typing import GenericAlias + except ImportError: + GenericAlias = typing._GenericAlias + + def get_origin(tp): + """Get the unsubscripted version of a type. + + This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar + and Annotated. Return None for unsupported types. Examples:: + + get_origin(Literal[42]) is Literal + get_origin(int) is None + get_origin(ClassVar[int]) is ClassVar + get_origin(Generic) is Generic + get_origin(Generic[T]) is Generic + get_origin(Union[T, int]) is Union + get_origin(List[Tuple[T, T]][int]) == list + get_origin(P.args) is P + """ + if isinstance(tp, _AnnotatedAlias): + return Annotated + if isinstance(tp, (typing._GenericAlias, GenericAlias, _BaseGenericAlias, + ParamSpecArgs, ParamSpecKwargs)): + return tp.__origin__ + if tp is typing.Generic: + return typing.Generic + return None + + def get_args(tp): + """Get type arguments with all substitutions performed. + + For unions, basic simplifications used by Union constructor are performed. + Examples:: + get_args(Dict[str, int]) == (str, int) + get_args(int) == () + get_args(Union[int, Union[T, int], str][int]) == (int, str) + get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int]) + get_args(Callable[[], T][int]) == ([], int) + """ + if isinstance(tp, _AnnotatedAlias): + return (tp.__origin__,) + tp.__metadata__ + if isinstance(tp, (typing._GenericAlias, GenericAlias)): + if getattr(tp, "_special", False): + return () + res = tp.__args__ + if get_origin(tp) is collections.abc.Callable and res[0] is not Ellipsis: + res = (list(res[:-1]), res[-1]) + return res + return () + + +# 3.10+ +if hasattr(typing, 'TypeAlias'): + TypeAlias = typing.TypeAlias +# 3.9 +elif sys.version_info[:2] >= (3, 9): + class _TypeAliasForm(typing._SpecialForm, _root=True): + def __repr__(self): + return 'typing_extensions.' + self._name + + @_TypeAliasForm + def TypeAlias(self, parameters): + """Special marker indicating that an assignment should + be recognized as a proper type alias definition by type + checkers. + + For example:: + + Predicate: TypeAlias = Callable[..., bool] + + It's invalid when used anywhere except as in the example above. + """ + raise TypeError(f"{self} is not subscriptable") +# 3.7-3.8 +elif sys.version_info[:2] >= (3, 7): + class _TypeAliasForm(typing._SpecialForm, _root=True): + def __repr__(self): + return 'typing_extensions.' + self._name + + TypeAlias = _TypeAliasForm('TypeAlias', + doc="""Special marker indicating that an assignment should + be recognized as a proper type alias definition by type + checkers. + + For example:: + + Predicate: TypeAlias = Callable[..., bool] + + It's invalid when used anywhere except as in the example + above.""") +# 3.6 +else: + class _TypeAliasMeta(typing.TypingMeta): + """Metaclass for TypeAlias""" + + def __repr__(self): + return 'typing_extensions.TypeAlias' + + class _TypeAliasBase(typing._FinalTypingBase, metaclass=_TypeAliasMeta, _root=True): + """Special marker indicating that an assignment should + be recognized as a proper type alias definition by type + checkers. + + For example:: + + Predicate: TypeAlias = Callable[..., bool] + + It's invalid when used anywhere except as in the example above. + """ + __slots__ = () + + def __instancecheck__(self, obj): + raise TypeError("TypeAlias cannot be used with isinstance().") + + def __subclasscheck__(self, cls): + raise TypeError("TypeAlias cannot be used with issubclass().") + + def __repr__(self): + return 'typing_extensions.TypeAlias' + + TypeAlias = _TypeAliasBase(_root=True) + + +# Python 3.10+ has PEP 612 +if hasattr(typing, 'ParamSpecArgs'): + ParamSpecArgs = typing.ParamSpecArgs + ParamSpecKwargs = typing.ParamSpecKwargs +# 3.6-3.9 +else: + class _Immutable: + """Mixin to indicate that object should not be copied.""" + __slots__ = () + + def __copy__(self): + return self + + def __deepcopy__(self, memo): + return self + + class ParamSpecArgs(_Immutable): + """The args for a ParamSpec object. + + Given a ParamSpec object P, P.args is an instance of ParamSpecArgs. + + ParamSpecArgs objects have a reference back to their ParamSpec: + + P.args.__origin__ is P + + This type is meant for runtime introspection and has no special meaning to + static type checkers. + """ + def __init__(self, origin): + self.__origin__ = origin + + def __repr__(self): + return f"{self.__origin__.__name__}.args" + + class ParamSpecKwargs(_Immutable): + """The kwargs for a ParamSpec object. + + Given a ParamSpec object P, P.kwargs is an instance of ParamSpecKwargs. + + ParamSpecKwargs objects have a reference back to their ParamSpec: + + P.kwargs.__origin__ is P + + This type is meant for runtime introspection and has no special meaning to + static type checkers. + """ + def __init__(self, origin): + self.__origin__ = origin + + def __repr__(self): + return f"{self.__origin__.__name__}.kwargs" + +# 3.10+ +if hasattr(typing, 'ParamSpec'): + ParamSpec = typing.ParamSpec +# 3.6-3.9 +else: + + # Inherits from list as a workaround for Callable checks in Python < 3.9.2. + class ParamSpec(list): + """Parameter specification variable. + + Usage:: + + P = ParamSpec('P') + + Parameter specification variables exist primarily for the benefit of static + type checkers. They are used to forward the parameter types of one + callable to another callable, a pattern commonly found in higher order + functions and decorators. They are only valid when used in ``Concatenate``, + or s the first argument to ``Callable``. In Python 3.10 and higher, + they are also supported in user-defined Generics at runtime. + See class Generic for more information on generic types. An + example for annotating a decorator:: + + T = TypeVar('T') + P = ParamSpec('P') + + def add_logging(f: Callable[P, T]) -> Callable[P, T]: + '''A type-safe decorator to add logging to a function.''' + def inner(*args: P.args, **kwargs: P.kwargs) -> T: + logging.info(f'{f.__name__} was called') + return f(*args, **kwargs) + return inner + + @add_logging + def add_two(x: float, y: float) -> float: + '''Add two numbers together.''' + return x + y + + Parameter specification variables defined with covariant=True or + contravariant=True can be used to declare covariant or contravariant + generic types. These keyword arguments are valid, but their actual semantics + are yet to be decided. See PEP 612 for details. + + Parameter specification variables can be introspected. e.g.: + + P.__name__ == 'T' + P.__bound__ == None + P.__covariant__ == False + P.__contravariant__ == False + + Note that only parameter specification variables defined in global scope can + be pickled. + """ + + # Trick Generic __parameters__. + __class__ = typing.TypeVar + + @property + def args(self): + return ParamSpecArgs(self) + + @property + def kwargs(self): + return ParamSpecKwargs(self) + + def __init__(self, name, *, bound=None, covariant=False, contravariant=False): + super().__init__([self]) + self.__name__ = name + self.__covariant__ = bool(covariant) + self.__contravariant__ = bool(contravariant) + if bound: + self.__bound__ = typing._type_check(bound, 'Bound must be a type.') + else: + self.__bound__ = None + + # for pickling: + try: + def_mod = sys._getframe(1).f_globals.get('__name__', '__main__') + except (AttributeError, ValueError): + def_mod = None + if def_mod != 'typing_extensions': + self.__module__ = def_mod + + def __repr__(self): + if self.__covariant__: + prefix = '+' + elif self.__contravariant__: + prefix = '-' + else: + prefix = '~' + return prefix + self.__name__ + + def __hash__(self): + return object.__hash__(self) + + def __eq__(self, other): + return self is other + + def __reduce__(self): + return self.__name__ + + # Hack to get typing._type_check to pass. + def __call__(self, *args, **kwargs): + pass + + if not PEP_560: + # Only needed in 3.6. + def _get_type_vars(self, tvars): + if self not in tvars: + tvars.append(self) + + +# 3.6-3.9 +if not hasattr(typing, 'Concatenate'): + # Inherits from list as a workaround for Callable checks in Python < 3.9.2. + class _ConcatenateGenericAlias(list): + + # Trick Generic into looking into this for __parameters__. + if PEP_560: + __class__ = typing._GenericAlias + else: + __class__ = typing._TypingBase + + # Flag in 3.8. + _special = False + # Attribute in 3.6 and earlier. + _gorg = typing.Generic + + def __init__(self, origin, args): + super().__init__(args) + self.__origin__ = origin + self.__args__ = args + + def __repr__(self): + _type_repr = typing._type_repr + return (f'{_type_repr(self.__origin__)}' + f'[{", ".join(_type_repr(arg) for arg in self.__args__)}]') + + def __hash__(self): + return hash((self.__origin__, self.__args__)) + + # Hack to get typing._type_check to pass in Generic. + def __call__(self, *args, **kwargs): + pass + + @property + def __parameters__(self): + return tuple( + tp for tp in self.__args__ if isinstance(tp, (typing.TypeVar, ParamSpec)) + ) + + if not PEP_560: + # Only required in 3.6. + def _get_type_vars(self, tvars): + if self.__origin__ and self.__parameters__: + typing._get_type_vars(self.__parameters__, tvars) + + +# 3.6-3.9 +@typing._tp_cache +def _concatenate_getitem(self, parameters): + if parameters == (): + raise TypeError("Cannot take a Concatenate of no types.") + if not isinstance(parameters, tuple): + parameters = (parameters,) + if not isinstance(parameters[-1], ParamSpec): + raise TypeError("The last parameter to Concatenate should be a " + "ParamSpec variable.") + msg = "Concatenate[arg, ...]: each arg must be a type." + parameters = tuple(typing._type_check(p, msg) for p in parameters) + return _ConcatenateGenericAlias(self, parameters) + + +# 3.10+ +if hasattr(typing, 'Concatenate'): + Concatenate = typing.Concatenate + _ConcatenateGenericAlias = typing._ConcatenateGenericAlias # noqa +# 3.9 +elif sys.version_info[:2] >= (3, 9): + @_TypeAliasForm + def Concatenate(self, parameters): + """Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a + higher order function which adds, removes or transforms parameters of a + callable. + + For example:: + + Callable[Concatenate[int, P], int] + + See PEP 612 for detailed information. + """ + return _concatenate_getitem(self, parameters) +# 3.7-8 +elif sys.version_info[:2] >= (3, 7): + class _ConcatenateForm(typing._SpecialForm, _root=True): + def __repr__(self): + return 'typing_extensions.' + self._name + + def __getitem__(self, parameters): + return _concatenate_getitem(self, parameters) + + Concatenate = _ConcatenateForm( + 'Concatenate', + doc="""Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a + higher order function which adds, removes or transforms parameters of a + callable. + + For example:: + + Callable[Concatenate[int, P], int] + + See PEP 612 for detailed information. + """) +# 3.6 +else: + class _ConcatenateAliasMeta(typing.TypingMeta): + """Metaclass for Concatenate.""" + + def __repr__(self): + return 'typing_extensions.Concatenate' + + class _ConcatenateAliasBase(typing._FinalTypingBase, + metaclass=_ConcatenateAliasMeta, + _root=True): + """Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a + higher order function which adds, removes or transforms parameters of a + callable. + + For example:: + + Callable[Concatenate[int, P], int] + + See PEP 612 for detailed information. + """ + __slots__ = () + + def __instancecheck__(self, obj): + raise TypeError("Concatenate cannot be used with isinstance().") + + def __subclasscheck__(self, cls): + raise TypeError("Concatenate cannot be used with issubclass().") + + def __repr__(self): + return 'typing_extensions.Concatenate' + + def __getitem__(self, parameters): + return _concatenate_getitem(self, parameters) + + Concatenate = _ConcatenateAliasBase(_root=True) + +# 3.10+ +if hasattr(typing, 'TypeGuard'): + TypeGuard = typing.TypeGuard +# 3.9 +elif sys.version_info[:2] >= (3, 9): + class _TypeGuardForm(typing._SpecialForm, _root=True): + def __repr__(self): + return 'typing_extensions.' + self._name + + @_TypeGuardForm + def TypeGuard(self, parameters): + """Special typing form used to annotate the return type of a user-defined + type guard function. ``TypeGuard`` only accepts a single type argument. + At runtime, functions marked this way should return a boolean. + + ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static + type checkers to determine a more precise type of an expression within a + program's code flow. Usually type narrowing is done by analyzing + conditional code flow and applying the narrowing to a block of code. The + conditional expression here is sometimes referred to as a "type guard". + + Sometimes it would be convenient to use a user-defined boolean function + as a type guard. Such a function should use ``TypeGuard[...]`` as its + return type to alert static type checkers to this intention. + + Using ``-> TypeGuard`` tells the static type checker that for a given + function: + + 1. The return value is a boolean. + 2. If the return value is ``True``, the type of its argument + is the type inside ``TypeGuard``. + + For example:: + + def is_str(val: Union[str, float]): + # "isinstance" type guard + if isinstance(val, str): + # Type of ``val`` is narrowed to ``str`` + ... + else: + # Else, type of ``val`` is narrowed to ``float``. + ... + + Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower + form of ``TypeA`` (it can even be a wider form) and this may lead to + type-unsafe results. The main reason is to allow for things like + narrowing ``List[object]`` to ``List[str]`` even though the latter is not + a subtype of the former, since ``List`` is invariant. The responsibility of + writing type-safe type guards is left to the user. + + ``TypeGuard`` also works with type variables. For more information, see + PEP 647 (User-Defined Type Guards). + """ + item = typing._type_check(parameters, f'{self} accepts only single type.') + return typing._GenericAlias(self, (item,)) +# 3.7-3.8 +elif sys.version_info[:2] >= (3, 7): + class _TypeGuardForm(typing._SpecialForm, _root=True): + + def __repr__(self): + return 'typing_extensions.' + self._name + + def __getitem__(self, parameters): + item = typing._type_check(parameters, + f'{self._name} accepts only a single type') + return typing._GenericAlias(self, (item,)) + + TypeGuard = _TypeGuardForm( + 'TypeGuard', + doc="""Special typing form used to annotate the return type of a user-defined + type guard function. ``TypeGuard`` only accepts a single type argument. + At runtime, functions marked this way should return a boolean. + + ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static + type checkers to determine a more precise type of an expression within a + program's code flow. Usually type narrowing is done by analyzing + conditional code flow and applying the narrowing to a block of code. The + conditional expression here is sometimes referred to as a "type guard". + + Sometimes it would be convenient to use a user-defined boolean function + as a type guard. Such a function should use ``TypeGuard[...]`` as its + return type to alert static type checkers to this intention. + + Using ``-> TypeGuard`` tells the static type checker that for a given + function: + + 1. The return value is a boolean. + 2. If the return value is ``True``, the type of its argument + is the type inside ``TypeGuard``. + + For example:: + + def is_str(val: Union[str, float]): + # "isinstance" type guard + if isinstance(val, str): + # Type of ``val`` is narrowed to ``str`` + ... + else: + # Else, type of ``val`` is narrowed to ``float``. + ... + + Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower + form of ``TypeA`` (it can even be a wider form) and this may lead to + type-unsafe results. The main reason is to allow for things like + narrowing ``List[object]`` to ``List[str]`` even though the latter is not + a subtype of the former, since ``List`` is invariant. The responsibility of + writing type-safe type guards is left to the user. + + ``TypeGuard`` also works with type variables. For more information, see + PEP 647 (User-Defined Type Guards). + """) +# 3.6 +else: + class _TypeGuard(typing._FinalTypingBase, _root=True): + """Special typing form used to annotate the return type of a user-defined + type guard function. ``TypeGuard`` only accepts a single type argument. + At runtime, functions marked this way should return a boolean. + + ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static + type checkers to determine a more precise type of an expression within a + program's code flow. Usually type narrowing is done by analyzing + conditional code flow and applying the narrowing to a block of code. The + conditional expression here is sometimes referred to as a "type guard". + + Sometimes it would be convenient to use a user-defined boolean function + as a type guard. Such a function should use ``TypeGuard[...]`` as its + return type to alert static type checkers to this intention. + + Using ``-> TypeGuard`` tells the static type checker that for a given + function: + + 1. The return value is a boolean. + 2. If the return value is ``True``, the type of its argument + is the type inside ``TypeGuard``. + + For example:: + + def is_str(val: Union[str, float]): + # "isinstance" type guard + if isinstance(val, str): + # Type of ``val`` is narrowed to ``str`` + ... + else: + # Else, type of ``val`` is narrowed to ``float``. + ... + + Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower + form of ``TypeA`` (it can even be a wider form) and this may lead to + type-unsafe results. The main reason is to allow for things like + narrowing ``List[object]`` to ``List[str]`` even though the latter is not + a subtype of the former, since ``List`` is invariant. The responsibility of + writing type-safe type guards is left to the user. + + ``TypeGuard`` also works with type variables. For more information, see + PEP 647 (User-Defined Type Guards). + """ + + __slots__ = ('__type__',) + + def __init__(self, tp=None, **kwds): + self.__type__ = tp + + def __getitem__(self, item): + cls = type(self) + if self.__type__ is None: + return cls(typing._type_check(item, + f'{cls.__name__[1:]} accepts only a single type.'), + _root=True) + raise TypeError(f'{cls.__name__[1:]} cannot be further subscripted') + + def _eval_type(self, globalns, localns): + new_tp = typing._eval_type(self.__type__, globalns, localns) + if new_tp == self.__type__: + return self + return type(self)(new_tp, _root=True) + + def __repr__(self): + r = super().__repr__() + if self.__type__ is not None: + r += f'[{typing._type_repr(self.__type__)}]' + return r + + def __hash__(self): + return hash((type(self).__name__, self.__type__)) + + def __eq__(self, other): + if not isinstance(other, _TypeGuard): + return NotImplemented + if self.__type__ is not None: + return self.__type__ == other.__type__ + return self is other + + TypeGuard = _TypeGuard(_root=True) + +if hasattr(typing, "Self"): + Self = typing.Self +elif sys.version_info[:2] >= (3, 7): + # Vendored from cpython typing._SpecialFrom + class _SpecialForm(typing._Final, _root=True): + __slots__ = ('_name', '__doc__', '_getitem') + + def __init__(self, getitem): + self._getitem = getitem + self._name = getitem.__name__ + self.__doc__ = getitem.__doc__ + + def __getattr__(self, item): + if item in {'__name__', '__qualname__'}: + return self._name + + raise AttributeError(item) + + def __mro_entries__(self, bases): + raise TypeError(f"Cannot subclass {self!r}") + + def __repr__(self): + return f'typing_extensions.{self._name}' + + def __reduce__(self): + return self._name + + def __call__(self, *args, **kwds): + raise TypeError(f"Cannot instantiate {self!r}") + + def __or__(self, other): + return typing.Union[self, other] + + def __ror__(self, other): + return typing.Union[other, self] + + def __instancecheck__(self, obj): + raise TypeError(f"{self} cannot be used with isinstance()") + + def __subclasscheck__(self, cls): + raise TypeError(f"{self} cannot be used with issubclass()") + + @typing._tp_cache + def __getitem__(self, parameters): + return self._getitem(self, parameters) + + @_SpecialForm + def Self(self, params): + """Used to spell the type of "self" in classes. + + Example:: + + from typing import Self + + class ReturnsSelf: + def parse(self, data: bytes) -> Self: + ... + return self + + """ + + raise TypeError(f"{self} is not subscriptable") +else: + class _Self(typing._FinalTypingBase, _root=True): + """Used to spell the type of "self" in classes. + + Example:: + + from typing import Self + + class ReturnsSelf: + def parse(self, data: bytes) -> Self: + ... + return self + + """ + + __slots__ = () + + def __instancecheck__(self, obj): + raise TypeError(f"{self} cannot be used with isinstance().") + + def __subclasscheck__(self, cls): + raise TypeError(f"{self} cannot be used with issubclass().") + + Self = _Self(_root=True) + + +if hasattr(typing, 'Required'): + Required = typing.Required + NotRequired = typing.NotRequired +elif sys.version_info[:2] >= (3, 9): + class _ExtensionsSpecialForm(typing._SpecialForm, _root=True): + def __repr__(self): + return 'typing_extensions.' + self._name + + @_ExtensionsSpecialForm + def Required(self, parameters): + """A special typing construct to mark a key of a total=False TypedDict + as required. For example: + + class Movie(TypedDict, total=False): + title: Required[str] + year: int + + m = Movie( + title='The Matrix', # typechecker error if key is omitted + year=1999, + ) + + There is no runtime checking that a required key is actually provided + when instantiating a related TypedDict. + """ + item = typing._type_check(parameters, f'{self._name} accepts only single type') + return typing._GenericAlias(self, (item,)) + + @_ExtensionsSpecialForm + def NotRequired(self, parameters): + """A special typing construct to mark a key of a TypedDict as + potentially missing. For example: + + class Movie(TypedDict): + title: str + year: NotRequired[int] + + m = Movie( + title='The Matrix', # typechecker error if key is omitted + year=1999, + ) + """ + item = typing._type_check(parameters, f'{self._name} accepts only single type') + return typing._GenericAlias(self, (item,)) + +elif sys.version_info[:2] >= (3, 7): + class _RequiredForm(typing._SpecialForm, _root=True): + def __repr__(self): + return 'typing_extensions.' + self._name + + def __getitem__(self, parameters): + item = typing._type_check(parameters, + '{} accepts only single type'.format(self._name)) + return typing._GenericAlias(self, (item,)) + + Required = _RequiredForm( + 'Required', + doc="""A special typing construct to mark a key of a total=False TypedDict + as required. For example: + + class Movie(TypedDict, total=False): + title: Required[str] + year: int + + m = Movie( + title='The Matrix', # typechecker error if key is omitted + year=1999, + ) + + There is no runtime checking that a required key is actually provided + when instantiating a related TypedDict. + """) + NotRequired = _RequiredForm( + 'NotRequired', + doc="""A special typing construct to mark a key of a TypedDict as + potentially missing. For example: + + class Movie(TypedDict): + title: str + year: NotRequired[int] + + m = Movie( + title='The Matrix', # typechecker error if key is omitted + year=1999, + ) + """) +else: + # NOTE: Modeled after _Final's implementation when _FinalTypingBase available + class _MaybeRequired(typing._FinalTypingBase, _root=True): + __slots__ = ('__type__',) + + def __init__(self, tp=None, **kwds): + self.__type__ = tp + + def __getitem__(self, item): + cls = type(self) + if self.__type__ is None: + return cls(typing._type_check(item, + '{} accepts only single type.'.format(cls.__name__[1:])), + _root=True) + raise TypeError('{} cannot be further subscripted' + .format(cls.__name__[1:])) + + def _eval_type(self, globalns, localns): + new_tp = typing._eval_type(self.__type__, globalns, localns) + if new_tp == self.__type__: + return self + return type(self)(new_tp, _root=True) + + def __repr__(self): + r = super().__repr__() + if self.__type__ is not None: + r += '[{}]'.format(typing._type_repr(self.__type__)) + return r + + def __hash__(self): + return hash((type(self).__name__, self.__type__)) + + def __eq__(self, other): + if not isinstance(other, type(self)): + return NotImplemented + if self.__type__ is not None: + return self.__type__ == other.__type__ + return self is other + + class _Required(_MaybeRequired, _root=True): + """A special typing construct to mark a key of a total=False TypedDict + as required. For example: + + class Movie(TypedDict, total=False): + title: Required[str] + year: int + + m = Movie( + title='The Matrix', # typechecker error if key is omitted + year=1999, + ) + + There is no runtime checking that a required key is actually provided + when instantiating a related TypedDict. + """ + + class _NotRequired(_MaybeRequired, _root=True): + """A special typing construct to mark a key of a TypedDict as + potentially missing. For example: + + class Movie(TypedDict): + title: str + year: NotRequired[int] + + m = Movie( + title='The Matrix', # typechecker error if key is omitted + year=1999, + ) + """ + + Required = _Required(_root=True) + NotRequired = _NotRequired(_root=True) diff --git a/packaging/pytorch.manifest b/packaging/pytorch.manifest new file mode 100644 index 0000000000..2a0cec5011 --- /dev/null +++ b/packaging/pytorch.manifest @@ -0,0 +1,5 @@ +<manifest> + <request> + <domain name="_"/> + </request> +</manifest> diff --git a/packaging/pytorch.pc.in b/packaging/pytorch.pc.in new file mode 100644 index 0000000000..2b9692ce81 --- /dev/null +++ b/packaging/pytorch.pc.in @@ -0,0 +1,5 @@ +Name: pytorch +Description: PyTorch shared libraries +Version: 1.10.2 +Libs: -L@libdir@ -lc10 -ltorch -ltorch_cpu +Cflags: -I@includedir@ diff --git a/packaging/pytorch.spec b/packaging/pytorch.spec new file mode 100644 index 0000000000..ca507918e0 --- /dev/null +++ b/packaging/pytorch.spec @@ -0,0 +1,175 @@ +Name: pytorch +Summary: PyTorch +Version: 1.10.2 +Release: 1 +License: BSD-3-Clause and Apache-2.0 + +Source0: %{name}-%{version}.tar.gz +Source1001: pytorch.manifest +Source1002: pytorch.pc.in + +Source10001: benchmark.tar.gz +Source10002: breakpad.tar.gz +Source10003: cpuinfo.tar.gz +Source10004: cub.tar.gz +Source10005: cudnn_frontend.tar.gz +Source10006: eigen.tar.gz +Source10007: fbgemm.tar.gz +Source10008: fmt.tar.gz +Source10009: foxi.tar.gz +Source10010: FP16.tar.gz +Source10011: FXdiv.tar.gz +Source10012: gemmlowp.tar.gz +Source10013: gloo.tar.gz +Source10014: googletest.tar.gz +Source10015: ideep.tar.gz +Source10016: ios-cmake.tar.gz +Source10017: kineto.tar.gz +Source10018: miniz-2.0.8.tar.gz +Source10019: nccl.tar.gz +Source10020: neon2sse.tar.gz +Source10021: NNPACK.tar.gz +Source10022: onnx.tar.gz +Source10023: onnx-tensorrt.tar.gz +Source10024: pocketfft.tar.gz +Source10025: protobuf.tar.gz +Source10026: psimd.tar.gz +Source10027: pthreadpool.tar.gz +Source10028: pybind11.tar.gz +Source10029: python-enum.tar.gz +Source10030: python-peachpy.tar.gz +Source10031: python-six.tar.gz +Source10032: QNNPACK.tar.gz +Source10033: sleef.tar.gz +Source10034: tbb.tar.gz +Source10035: tensorflow_cuda_bazel_build.tar.gz +Source10036: tensorpipe.tar.gz +Source10037: valgrind-headers.tar.gz +Source10038: XNNPACK.tar.gz +Source10039: zstd.tar.gz + +BuildRequires: cmake +BuildRequires: ninja +BuildRequires: openblas-devel +BuildRequires: python3 +BuildRequires: python3-devel +BuildRequires: python3-numpy-devel +BuildRequires: python3-PyYAML +BuildRequires: protobuf-devel +BuildRequires: libyaml-devel + +%description +PyTorch is a Python package that provides two high-level features: +Tensor computation (like NumPy) with strong GPU acceleration +Deep neural networks built on a tape-based autograd system +You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. + +%prep +%setup -q +cp %{SOURCE1001} . + +mkdir -p third_party +tar -xf %SOURCE10001 -C third_party/ +tar -xf %SOURCE10002 -C third_party/ +tar -xf %SOURCE10003 -C third_party/ +tar -xf %SOURCE10004 -C third_party/ +tar -xf %SOURCE10005 -C third_party/ +tar -xf %SOURCE10006 -C third_party/ +tar -xf %SOURCE10007 -C third_party/ +tar -xf %SOURCE10008 -C third_party/ +tar -xf %SOURCE10009 -C third_party/ +tar -xf %SOURCE10010 -C third_party/ +tar -xf %SOURCE10011 -C third_party/ +tar -xf %SOURCE10012 -C third_party/ +tar -xf %SOURCE10013 -C third_party/ +tar -xf %SOURCE10014 -C third_party/ +tar -xf %SOURCE10015 -C third_party/ +tar -xf %SOURCE10016 -C third_party/ +tar -xf %SOURCE10017 -C third_party/ +tar -xf %SOURCE10018 -C third_party/ +tar -xf %SOURCE10019 -C third_party/ +tar -xf %SOURCE10020 -C third_party/ +tar -xf %SOURCE10021 -C third_party/ +tar -xf %SOURCE10022 -C third_party/ +tar -xf %SOURCE10023 -C third_party/ +tar -xf %SOURCE10024 -C third_party/ +tar -xf %SOURCE10025 -C third_party/ +tar -xf %SOURCE10026 -C third_party/ +tar -xf %SOURCE10027 -C third_party/ +tar -xf %SOURCE10028 -C third_party/ +tar -xf %SOURCE10029 -C third_party/ +tar -xf %SOURCE10030 -C third_party/ +tar -xf %SOURCE10031 -C third_party/ +tar -xf %SOURCE10032 -C third_party/ +tar -xf %SOURCE10033 -C third_party/ +tar -xf %SOURCE10034 -C third_party/ +tar -xf %SOURCE10035 -C third_party/ +tar -xf %SOURCE10036 -C third_party/ +tar -xf %SOURCE10037 -C third_party/ +tar -xf %SOURCE10038 -C third_party/ +tar -xf %SOURCE10039 -C third_party/ + +%build +export PYTHON_EXECUTABLE=/usr/bin/python3 +export PYTHONPATH="$PYTHONPATH:./packaging/python_module" + +mkdir -p build +pushd build +alias python=python3 +cmake .. \ + -DCMAKE_INSTALL_PREFIX=./install \ + -DCMAKE_VERBOSE_MAKEFILE=1 \ + -DBUILD_BINARY=OFF \ + -DBUILD_CUSTOM_PROTOBUF=OFF \ + -DBUILD_PYTHON=OFF \ + -DUSE_CUDA=OFF \ + -DUSE_MPI=OFF \ + -DUSE_NCCL=OFF \ + -DUSE_METAL=OFF \ + -DUSE_NUMA=OFF \ + -DPYTHON_EXECUTABLE=/usr/bin/python3 \ + -DUSE_NUMPY=OFF \ + -DUSE_MKLDNN=OFF \ + -DUSE_FBGEMM=OFF \ + -DUSE_DISTRIBUTED=OFF + +cmake --build . --target install %{?_smp_mflags} + +popd + +%install +mkdir -p %{buildroot}%{_libdir} +mkdir -p %{buildroot}%{_libdir}/pkgconfig +mkdir -p %{buildroot}%{_includedir} + +# install built shared libs +cp ./build/lib/*.so %{buildroot}%{_libdir}/ + +# install include files +cp -r ./build/install/include/* %{buildroot}%{_includedir}/ + +# install pc file +cp %{SOURCE1002} . +sed -i 's:@libdir@:%{_libdir}:g' ./pytorch.pc.in +sed -i 's:@includedir@:%{_includedir}:g' ./pytorch.pc.in +install -m 0644 -p pytorch.pc.in %{buildroot}%{_libdir}/pkgconfig/pytorch.pc + +%post -p %{_sbindir}/ldconfig +%postun -p %{_sbindir}/ldconfig + +%package devel +Summary: PyTorch Development Package + +%description devel +PyTorch development files + +%files devel +%manifest pytorch.manifest +%license LICENSE +%{_libdir}/pkgconfig/pytorch.pc +%{_libdir}/*.so +%{_includedir}/* + +%changelog +* Fri Feb 4 2022 Yongjoo Ahn <yongjoo1.ahn@samsung.com> + - Initial Tizen package to use PyTorch v1.10.2 |